2 citations · 3 across the 2 of their papers we have counts for
4 papers
Improving Solar Cell Metallization Designs using Convolutional Neural Networks
Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick +2
Optimizing the design of solar cell metallizations is one of the ways to improve the performance of solar cells. Recently, it has been shown that Topology Optimization (TO) can be…
Applying Knowledge Transfer for Water Body Segmentation in Peru
Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran +2
In this work, we present the application of convolutional neural networks for segmenting water bodies in satellite images. We first use a variant of the U-Net model to segment rive…
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1
Machine learning is currently a trending topic in various science and engineering disciplines, and the field of geophysics is no exception. With the advent of powerful computers, i…
Velocity-Porosity Supermodel: A Deep Neural Networks based concept
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1
Rock physics models (RPMs) are used to estimate the elastic properties (e.g. velocity, moduli) from the rock properties (e.g. porosity, lithology, fluid saturation). However, the r…